/// <summary>
/// Adopts the data from source instance.
/// </summary>
/// <param name="source">The source instance.</param>
public void Adopt(WeightedAvg source)
{
SumOfSamples = source.SumOfSamples;
SumOfWeights = source.SumOfWeights;
Result = source.Result;
NumOfSamples = source.NumOfSamples;
return;
}
/// <summary>
/// Adopts the source instance.
/// </summary>
/// <param name="source">Source instance</param>
public void Adopt(WeightedAvg source)
{
_sumOfWeightedValues = source._sumOfWeightedValues;
_sumOfWeights = source._sumOfWeights;
_avg = source._avg;
_numOfSamples = source._numOfSamples;
return;
}
/// <summary>
/// Adopts the source instance.
/// </summary>
/// <param name="source">Source instance</param>
public void Adopt(WeightedAvg source)
{
SumOfValues = source.SumOfValues;
SumOfWeights = source.SumOfWeights;
Avg = source.Avg;
NumOfSamples = source.NumOfSamples;
return;
}
/// <summary>
/// Returns weighted average
/// </summary>
/// <param name="weights">Weights to be used</param>
/// <param name="latestFirst">Specifies logical order (latest..oldest or oldest..latest)</param>
/// <param name="reqNumOfSamples">Number of requiered samples</param>
public WeightedAvg GetWeightedAvg(double[] weights = null, bool latestFirst = false, int reqNumOfSamples = -1)
{
CheckReadyness(reqNumOfSamples);
int numOfSamplesToBeProcessed = weights == null ? reqNumOfSamples == -1 ? _dataWindow.Count : reqNumOfSamples : Math.Min(weights.Length, reqNumOfSamples == -1 ? _dataWindow.Count : reqNumOfSamples);
WeightedAvg wAvg = new WeightedAvg();
for (int i = 0; i < numOfSamplesToBeProcessed; i++)
{
wAvg.AddSampleValue(_dataWindow.GetElementAt(i, latestFirst), weights == null ? 1d : weights[i]);
}
return(wAvg);
}
/// <summary>
/// Computes the weighted average of the data currently stored in the window.
/// </summary>
/// <param name="weights">The weights.</param>
public WeightedAvg GetDataWeightedAvg(double[] weights)
{
CheckReadyness(weights.Length);
int numOfSamplesToBeProcessed = weights.Length;
WeightedAvg wAvg = new WeightedAvg();
for (int i = numOfSamplesToBeProcessed - 1, j = 0; i >= 0; i--, j++)
{
wAvg.AddSample(_dataQueue.GetElementAt(i, true), weights[j]);
}
return(wAvg);
}
/// <summary>
/// Computes the linearly weighted average of the differences of the data in the window.
/// </summary>
/// <param name="reqNumOfSamples">The requiered mumber of samples (-1 means all).</param>
public WeightedAvg GetDataDiffLinWeightedAvg(int reqNumOfSamples = -1)
{
int numOfSamplesToBeProcessed = reqNumOfSamples == -1 ? _dataQueue.Count : reqNumOfSamples;
CheckReadyness(numOfSamplesToBeProcessed);
WeightedAvg wAvg = new WeightedAvg();
for (int i = numOfSamplesToBeProcessed - 2, w = 1; i >= 0; i--, w++)
{
wAvg.AddSample(_dataQueue.GetElementAt(i, true) - _dataQueue.GetElementAt(i + 1, true));
}
return(wAvg);
}
/// <summary>
/// The copy constructor.
/// </summary>
/// <param name="source">The source instance.</param>
public WeightedAvg(WeightedAvg source)
{
Adopt(source);
return;
}